Bibliographic record
Abstract
The Biopreservation Student Association of the University of Alberta and faculty members involved in biopreservation research hosted the meeting. The purpose of this two-day meeting was to highlight presentations and discussions on current research and interdisciplinary ideas related to cold, ice, and biological systems. The theme of the conference reflected the many unsuccessful experiments in the laboratory that may not lead to publishable results but still lead to new insights for the researcher. Participants talked about events that seemed to be failures at first but actually hinted at something unexpected and resulted in a different way of looking at a specific problem. The group hosted approximately 35 people, including world-renowned scientists and leading researchers from the University of Alberta, University of Calgary, Université du Québec à Montréal, and Indiana University. Dr. Kenneth Storey from Carleton University, Ottawa, presented the keynote address about the ability of some species of frogs to survive freezing and the molecular mechanisms of vertebrate freeze tolerance. Participation in the conference was free for all the attendees, who included principal investigators, research associates, graduate students, and technicians. A variety of topics were discussed during the meeting, including tissue and organ preservation, cryosurgery, hematopoietic stem cell transplantation, improved techniques for cell preservation, and mathematical modeling in cryobiology. The meeting was followed by a roundtable discussion. The conference was an excellent opportunity to display Alberta's outstanding contribution to low-temperature biology and applications in transplant medicine, transfusion science, and biomedical engineering. A significant amount of time was allowed after each presentation to promote discussions between attendees, and many new scientific links were established during the meeting.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.312 | 0.129 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".